12338 results for "cancer rna-seq"

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• Distinct Stem Cell Identities Converge into Shared Erythroid Stress in ERCC6L2 Disease and Shwachman-Diamond Syndrome

  ERCC6L2 disease (ED) is a rare bone marrow failure syndrome caused by biallelic germline mutations in ERCC6L2. ED leads to accumulation of somatic TP53 mutations, myelodysplastic syndrome, and acute myeloid leukemia (AML) with erythroid predominance and poor prognosis. To delineate the transcriptomic events underlying delayed erythropoiesis and leukemic progression in ED, we leverage single-cell transcriptomics and single-cell TP53 genotyping of patient bone marrow across ED and Shwachman-Diamond syndrome. The dataset contains raw single-cell gene expression data (scRNA-seq), raw single-cell amplicon data (scAmp-seq), and curated metadata describing sample identity, cell populations, and disease classification. Related processed data will be available at ArrayExpress.

  Study EGAS50000001880

• Transcriptome - Uveal Melanomas

  Total RNA sequencing on 9 uveal melanomas. Libraries were prepared using the TruSeq Stranded Total RNA Library Prep Gold (Illumina, 20020599). Paired-end libraries (2 x 100 bp) were sequenced on a NovaSeq 6000 instrument (Illumina).

  Dataset EGAD50000000763

• RNA sequencing of 20 intra/extra hepatic bileduct organiods

  This dataset contains RNA sequencing data for 20 intra/extra hepatic bileduct organiods. Data is in BAM format and was processed by STAR.

  Dataset EGAD00001005225

• RNA data for Glioblastoma (EGAS00001003953, H016)

  RNA data for human glioblastoma patients, EGAS00001003953. 64 human samples, 2 cell lines (LN229, ZH487).

  Dataset EGAD00001006547

• Characterizing the tumor immune microenvironment of ependymomas using targeted gene expression profiles and RNA-sequencing the pros and cons

  RNA sequencing data of a collection of 6 pediatric ependymoma cases

  Dataset EGAD00001009301

• Analysis of T cells in follicular lymphoma

  This study aimed to identify new heterogeneities in human T cells of follicular lymphoma. To do so, we performed scRNA-seq of human lymph node and follicular lymphoma samples. We identified minor T cell subsets expanding in follicular lymphoma.

  Study EGAS50000000778

• ChIP seq samples

  Dataset contains 12 ChIP-Seq samples sequenced on the Illumina NextSeq500 sequencer. 3 samples are control samples (HcAct-Chip 1,HcAct-Chip 2,HcAct-Imput 2) 9 samples are case samples (HcAct2DG-Chip 1,HcAct2DG-Chip 2,HcAct2DG-Imput 1,JIAAct-Chip1,JIAAct-Chip2,JIAAct-Imput2,JIAAct2DG-Chip1,JIAAct2DG-Chip2,JIAAct2DG-Imput2)

  Dataset EGAD50000001188

• Whole Genome DNA Methylation MPI

  Whole Genome Bisulfite Sequencing on normal primary human uveal melanocytes. WGBS libraries were prepared using the Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences, Catalog No. 30024), the EZ DNA Methylation-Gold Kit (Zymo, D5005) and DNA Clean & Concentrator-5 (Zymo, D4013), following the instruction manual Accel-NGS® Methyl-Seq DNA Library (Revision 160510). Paired-end libraries (2 × 150 bp) were sequenced on a NovaSeq 6000 instrument.

  Dataset EGAD50000001139

• Whole Genome DNA Methylation

  Whole Genome Bisulfite Sequencing on normal primary human uveal melanocytes. WGBS libraries were prepared using the Accel-NGS Methyl-Seq DNA Library Kit (Swift Biosciences 30024), the EZ DNA Methylation-Gold Kit (Zymo D5005), and DNA Clean & Concentrator-5 (Zymo D4013), following the instruction manual Accel-NGS Methyl-Seq DNA Library (Revision 160510). Paired-end (2 x 150 bp) libraries were sequenced on a DNBSEQ-T7 instrument (MGI) after library conversion.

  Dataset EGAD50000000766

• CRC cell line ATAC-seq

  ATAC-Seq data for C32, CACO2, CL11, HT29, SW403, SW480, SW948 MSS CRC cell lines, and HCEC-1CT normal colon cell line

  Dataset EGAD50000000296